Cooperative Agreement 2449538
Award Date
6/15/25
Completion Date
5/31/27
Dollars Obligated
$1M
Federal Agency
National Science Foundation
Federal Grant Program
47.084
Assistance Type
Cooperative Agreement
Place of Performance
Chester, WV 26034, USA
Similar Awards
The National Science Foundation (NSF) awarded a $273,369 Project Grant to Intellisafe Analytics LLC for a Small Business Innovation Research (SBIR) Phase I project titled "Comprehensive, Human-Centered, Safety System Using Physiological and Behavioral Sensing to Predict and Prevent Workplace Accidents". The goal of this project is to develop a safety system that uses wearable technology to continuously collect real-time physiological and behavioral data from workers, and applies...
The National Science Foundation (NSF) awarded a $180,499 project grant under its Engineering program (CFDA 47.041) to the University of California, San Diego (UCSD) to develop a real-time, holistic health monitoring system for construction workers. This multidisciplinary research aims to improve worker health and safety by integrating wearable sensor technology, artificial intelligence, and data visualization. Key objectives include designing a flexible wearable sensor to continuously measure...
This $999,999 Cooperative Agreement award from the National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) program supports Phlux Technologies, Inc., a small business in Pittsburgh, Pennsylvania, to develop an innovative 3D safety sensor system for enhanced human-robot collaboration in manufacturing environments. The project aims to create a cost-effective, high-resolution "programmable 3D light curtain" sensor that can provide dynamic 3D monitoring...
This $149,932 National Science Foundation project grant will fund the development of human-technology safety partnerships for roadside work zones. Specifically, the University of Memphis will create an initial prototype of connected wearable devices to assist highway workers in identifying potential threats. Researchers will use virtual reality experiments to study workers' safety-related decisions with and without wearables. They will also develop a technology acceptance model and quantify...
This $275,000 Project Grant from the National Science Foundation's Engineering Directorate (CFDA 47.041) will fund the development of a holistic health monitoring system for construction workers at The Ohio State University from October 1, 2022 to September 30, 2026. The University will design a flexible, wearable sensor to continuously and noninvasively measure workers' bioelectric signals and electrochemical responses at job sites. Researchers will also develop machine learning algorithms to...
This National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) Project Grant award of $305,000 to Beesafe Labs, LLC in San Diego, CA aims to develop an automated, scalable intelligence-gathering system using interactive artificial intelligence (AI) chatbot investigators to counteract social engineering cyber-attacks. The project proposes to leverage large language models (LLMs) to simulate potential victims and extract structured intelligence from attackers,...
The National Science Foundation awarded a $183,836 project grant to Texas A&M University under the Computer and Information Science and Engineering program (CFDA 47.070). The grant will support the development of personalized augmented reality safety training environments for high-risk workplaces. Over three years from June 2023 to May 2026, the university will construct an augmented reality system using computer vision algorithms and accident scenario simulations. The system will...
This $1,280,043 federal Project Grant award was provided by the National Science Foundation (NSF) Engineering program (CFDA 47.041) to the University of Illinois to improve construction workforce health and safety. The research aims to develop an intelligent, real-time health monitoring system for construction workers using flexible wearable sensors, machine learning algorithms, and data visualization. Key objectives include: 1) designing a flexible wearable sensor to continuously measure...
The National Science Foundation (NSF) awarded a $275,000 Project Grant under its Technology, Innovation, and Partnerships (CFDA 47.084) program to Loomia Technologies Inc., a minority-owned small business in Brooklyn, NY. The funding supports the development of a hands-off-detection (HOD) system with integrated heating functionality for the steering wheel of autonomous vehicles. The project aims to create a thinner, more flexible, and sustainable HOD sensor using proprietary electronic textile...
This $300,000 Project Grant award from the National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) program aims to investigate algorithmic biases in artificial intelligence (AI)-based ergonomic assessments to ensure the ethical design and deployment of responsible and explainable AI technologies. The key objectives are to: (1) obtain stakeholder perspectives on AI-based ergonomic assessments, (2) identify sources of algorithmic biases, (3) develop and evaluate...